Tong Li
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Tong LiResearch Assistant Professor
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About Me
Tong Li is a Research Assistant Professor in the Department of Electronic Engineering at Tsinghua University, affiliated with the Future Intelligence Laboratory (FIB-Lab). He was a postdoctoral scholar at Tsinghua University, advised by Prof. Yong Li. Tong Li obtained dual PhDs in computer science from the University of Helsinki in 2022 and in computer science and engineering from the Hong Kong University of Science and Technology in 2021, co-advised by Prof. Pan Hui and Prof. Sasu Tarkoma. Tong Li has an extensive publication record, with over 60 papers published in renowned journals and conferences such as Nature Sustainability, KDD, WWW, CoNEXT, UbiComp, Proceedings of the IEEE, TMC, TKDE, and TKDD. Dr. Li is actively involved in the academic community and serves as a program committee member of KDD, AAAI, IJCAI, etc. His research interests include wireless network digital twins, network simulation and optimization, and mobile computing.
Advertisements (long-term effective):
I am seeking self-motivated interns (undergraduate or graduate) and collaborators to conduct research on network digital twins, network data mining, network simulation and optimization, mobile computing, and more. Opportunities are available both remotely and at Tsinghua University. Our interns have a strong record of publishing first-author papers in CCF-A conferences and journals. Additionally, our team is actively hiring Postdocs, PhD, and Master's students. If you are interested, please contact me via email.
News
- Sept. 17, 2024. Our paper "Coverage Optimization for Large-Scale Mobile Networks with Digital Twin and Multi-Agent Reinforcement Learning" was accepted by IEEE Transactions on Wireless Communications.
- Aug. 16, 2024. Our project "Intelligent Simulation and Decision Making Platform for Ultra-large Scale Mobile Networks" has been awarded Second Prize in the Innovative Technology Award by the China Simulation Federation.
- Aug. 8, 2024. Our paper "KGDA: A Knowledge Graph-based Decomposition Approach for Cellular Traffic Prediction" was accepted by ACM Transactions on Intelligent Systems and Technology. Congratulations to Jiahui!
- July. 6, 2024. Our paper "Physics-Informed Neural Networks for Path Loss Estimation by Solving Electromagnetic Integral Equations" was accepted by IEEE Transactions on Wireless Communications. Congratulations to Fenyu!
- July. 2, 2024. Our paper "NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation" was accepted by ACM CoNEXT 2024. Congratulations to Shiyuan!
- July. 2, 2024. Our paper "Sustainable Connections: Exploring Energy Efficiency in 5G Networks" was accepted by ACM CoNEXT 2024. Congratulations to Yibo!
- Jun. 28, 2024. Our paper "Generative AI-driven Digital Twin for Mobile Networks" was accepted by IEEE Network.
- Jun. 25, 2024. Our project "Sustainability telco by green network evolution" has been the Winner of Best Moonshot Catalyst-Sustainability Challenge at TM Forum 2024. [Certificate]
- Jun. 18, 2024. Our paper "Mitigating Energy Consumption in Heterogeneous Mobile Networks through Data-Driven Optimization" was accepted by IEEE Transactions on Network and Service Management. Congratulations to Yibo!
- May. 10, 2024. Our paper "Mobile User Traffic Generation via Multi-Scale Hierarchical GAN" was accepted by ACM Transactions on Knowledge Discovery from Data.
- May. 9, 2024. Our paper "Smartphone App Usage Analysis: Datasets, Methods, and Applications" has been selected as ESI Highly Cited Paper.
- May. 2, 2024. Our paper "Design of a Distributed Resource Authorization System based on Blockchain" was accepted by Cyber Security & Data Governance.
- Jan. 16, 2024. Our paper "To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage" has been selected as ESI Highly Cited Paper.
- Jan. 16, 2024. Our paper "Understanding the Long-term Evolution of Mobile App Usage" has been selected as ESI Highly Cited Paper.
- Jan. 2, 2024. Our paper "Analyzing the Impact of COVID-19 on Consumption Behaviors through Recession and Recovery Patterns" was accepted by Scientific Reports.
- Oct. 3, 2023. I was invited to serve as an associate editor of EURASIP Journal on Wireless Communications and Networking.
- Oct. 1, 2023. Our project "Creating a sustainable digital feature: low-carbon networks" has been a finalist at DTW23 Copenhagen. [Certificate]
- Sept. 11, 2023. Our paper "Empowering Spatial Knowledge Graph for Mobile Traffic Prediction" was accepted by ACM SIGSPATIAL 2023.
- Aug. 6, 2023. Our paper "Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands" was accepted by ACM CIKM 2023.
- July. 25, 2023. Our Research Briefing paper "Artificial intelligence for reducing the carbon emissions of 5G networks in China" was accepted by Nature Sustainability.
- July. 25, 2023. Our paper "A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities" was accepted by Nature Scientific Data.
- July. 21, 2023. Our paper "Demand Driven Urban Facility Visit Prediction" was accepted by ACM TIST.
- Jun. 12, 2023. Our paper "Carbon emissions of 5G mobile networks in China" was accepted by Nature Sustainability.
Honors and Awards
- 2024 Second Prize in the Innovative Technology Award by the China Simulation Federation.
- 2024 Winner of Best Moonshot Catalyst-Sustainability Challenge at TM Forum 2024 for Sustainability telco by green network evolution. [Certificate]
- 2023 Finalist at DTW23 Copenhagen for Creating a sustainable digital feature: low-carbon networks. [Certificate]
- 2022 Sub-project of the National Key Research and Development Program of China.
- 2022 China Postdoctoral Science Foundation.
- 2021 International Postdoctoral Exchange Fellowship Program (Talent Introduction Program).
- 2020 Chinese Government Award for Outstanding Self-financed Students Abroad.
- 2020 Nokia Scholarship.
- 2016 National Scholarship for Graduate Students.
Publications
2024
- Coverage Optimization for Large-Scale Mobile Networks with Digital Twin and Multi-Agent Reinforcement Learning.
Haoqiang Liu, Tong Li*, Fenyu Jiang, Weikang Su, Zhaocheng Wang.
IEEE Transactions on Wireless Communications, 2024. - KGDA: A Knowledge Graph-based Decomposition Approach for Cellular Traffic Prediction.
Jiahui Gong, Tong Li*, Huandong Wang, Yu Liu, Xing Wang, Zhendong Wang, Chao Deng, Junlan Feng, Depeng Jin, Yong Li.
ACM Transactions on Intelligent Systems and Technology, 2024. - Physics-Informed Neural Networks for Path Loss Estimation by Solving Electromagnetic Integral Equations.
Fenyu Jiang, Tong Li*, Xingzai Lv, Hua Rui, Depeng Jin.
IEEE Transactions on Wireless Communications, 2024. - NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation.
Shiyuan Zhang, Tong Li*, Depeng Jin, Yong Li.
In Proceedings of the ACM on Networking (CoNEXT), 2024. - Sustainable Connections: Exploring Energy Efficiency in 5G Networks.
Yibo Ma, Tong Li*, Yuwei Du, Schahram Dustdar, Zhaocheng Wang, Yong Li.
In Companion of the 20th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), 2024. - Generative AI-driven Digital Twin for Mobile Networks.
Haoye Chai, Huandong Wang, Tong Li*, Zhaocheng Wang.
IEEE Network, 2024. - A Multiscale Discriminative Attack Method for Automatic Modulation Classification.
Jing Bai, Chang Ge, Zhu Xiao, Hongbo Jiang, Tong Li, Huaji Zhou, Licheng Jiao.
IEEE Transactions on Information Forensics and Security, 2024. - Mitigating Energy Consumption in Heterogeneous Mobile Networks through Data-Driven Optimization.
Yibo Ma, Tong Li*, Yan Zhou, Li Yu, Depeng Jin.
IEEE Transactions on Network and Service Management, 2024. - Design of a Distributed Resource Authorization System based on Blockchain.
Yi Zhang, Tong Li*, Yue Wang.
Cyber Security & Data Governance, 2024. - Digital Twin Enhanced Multi-Agent Reinforcement Learning For Large-Scale Mobile Network Coverage Optimization.
Haoqiang Liu, Weikang Su, Tong Li*, Wenzhen Huang, Yong Li.
ACM Transactions on Knowledge Discovery from Data, 2024. - Mobile User Traffic Generation via Multi-Scale Hierarchical GAN.
Tong Li*, Shuodi Hui*, Shiyuan Zhang, Huandong Wang, Yuheng Zhang, Pan Hui, Depeng Jin, Yong Li.
ACM Transactions on Knowledge Discovery from Data, 2024. - Profit Optimized Task Scheduling for Vehicular Fog Computing.
Umber Saleema, Sobia Jangsher, Tong Li*, Yong Li.
Wireless Networks, 2024. - Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation.
Haoye Chai, Tong Li, Fenyu Jiang, Shiyuan Zhang, Yong Li.
In Companion Proceedings of the ACM Web Conference, 2024. - Analyzing the Impact of COVID-19 on Consumption Behaviors through Recession and Recovery Patterns.
Rui Chen, Tong Li*, Yong Li.
Scientific Reports, 2024.
2023
- Empowering Spatial Knowledge Graph for Mobile Traffic Prediction.
Jiahui Gong, Yu Liu, Tong Li*, Haoye Chai, Xing Wang, Junlan Feng, Chao Deng, Depeng Jin, Yong Li.
In Proceedings of the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023. - Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands.
Wenzhen Huang, Tong Li*, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li.
In Proceedings of the 32nd ACM International Conference on Information & Knowledge Management (CIKM), 2023. - Artificial intelligence for reducing the carbon emissions of 5G networks in China.
Tong Li, Yong Li.
Nature Sustainability, 2023. - A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities.
Yanxin Xi, Yu Liu, Tong Li, Jingtao Ding, Yunke Zhang, Sasu Tarkoma, Yong Li, Pan Hui.
Nature Scientific Data, 2023. - Demand Driven Urban Facility Visit Prediction.
Yunke Zhang, Tong Li, Yuan Yuan, Fengli Xu, Fan Yang, Fulin Sun, Yong Li.
ACM Transactions on Intelligent Systems and Technology, 2023. - Carbon emissions of 5G mobile networks in China.
Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li*, and Tao Jiang*.
Nature Sustainability, 2023. - Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph.
Shiyuan Zhang, Tong Li*, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, and Yong Li.
In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. - Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns.
Shuodi Hui, Huandong Wang, Tong Li*, Xinghao Yang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, and Yong Li.
In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. - Practical Synthetic Human Trajectories Generation Based on Variational Point Processes.
Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, and Yong Li.
In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. - You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior.
Tong Li, Yong Li, Sasu Tarkoma, and Pan Hui.
ACM Transactions on Intelligent Systems and Technology, 2023. - Scalable Digital Twin System for Mobile Networks with Generative AI.
Jiahui Gong, Qiaohong Yu, Tong Li*, Haoqiang Liu, Jun Zhang, Hangyu Fan, Depeng Jin, and Yong Li.
In Proceedings of the 21st ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2023. - Learning Representations of Satellite Imagery by Leveraging Point-of-Interests.
Tong Li, Yanxin Xi, Huandong Wang, Yong Li, Sasu Tarkoma, and Pan Hui.
ACM Transactions on Intelligent Systems and Technology, 2023. - FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection.
Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, and Pengyuan Zhou.
In Proceedings of The ACM Web Conference (WWW), 2023.
2022
- DMGAN: Dynamic Multi-Hop Graph Attention Network for Traffic Forecasting.
Rui Li, Fan Zhang, Tong Li, Ning Zhang, and Tingting Zhang.
IEEE Transactions on Knowledge and Data Engineering, 2022. - Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery.
Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui, and Yong Li.
In Proceedings of ACM Conference on Information and Knowledge Management (CIKM), 2022. - CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events.
Mingyang Zhang, Tong Li*, and Pan Hui.
IEEE Transactions on Knowledge and Data Engineering, 2022. - Smartphone App Usage Analysis: Datasets, Methods, and Applications.
Tong Li, Tong Xia, Huandong Wang, Zhen Tu, Sasu Tarkoma, Zhu Han, and Pan Hui.
IEEE Communications Surveys and Tutorials, 2022. (ESI Highly Cited Paper) - Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks.
Qiaohong Yu, Huandong Wang, Tong Li, Depeng Jin, Xing Wang, Lin Zhu, Junlan Feng, and Chao Deng.
In Proceedings of IEEE International Conference on Communications Workshops (ICC Workshops), 2022. - Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests.
Yanxin Xi, Tong Li*, Huandong Wang, Yong Li, Sasu Tarkoma, and Pan Hui.
In Proceedings of The ACM Web Conference (WWW), 2022. - DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction.
Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin and Yong Li.
In Proceedings of the 2019 IEEE 38th International Conference on Data Engineering (ICDE), 2022.
2021
- Finding Spatiotemporal Patterns of Mobile Application Usage.
Tong Li, Yong Li, Tong Xia, Pan Hui.
IEEE Transactions on Network Science and Engineering, 2021. - Utility-Aware and Privacy-Preserving Trajectory Synthesis Model With Resisting Social Relationship Privacy Attacks.
Zhirun Zheng, Zhetao Li, Jie Li, Hongbo Jiang, Tong Li, Bin Guo.
ACM Transactions on Intelligent Systems and Technology, 2021. - Edge Intelligence: Empowering Intelligence to the Edge of Network.
Dianlei Xu, Tong Li, Yong Li, Xiang Su, Sasu Tarkoma, Tao Jiang, Jon Crowcroft, Pan Hui.
Proceedings of the IEEE, 2021. - Understanding the Long-term Dynamics of Mobile App Usage Context via Graph Embedding.
Yali Fan, Zhen Tu, Tong Li, Hancheng Cao, Tong Xia, Yong Li, Xiang Chen, Lin Zhang.
IEEE Transactions on Knowledge and Data Engineering, 2021. - Understanding the Long-term Evolution of Mobile App Usage.
Tong Li, Yali Fan, Yon Li, Sasu Tarkoma, and Pan Hui.
IEEE Transactions on Mobile Computing, 2021. (ESI Highly Cited Paper) - Inferring Origin-Destination Flows fromPopulation Distribution.
Can Rong, Tong Li, Jie Feng, Hedong Yang, Lu Geng, and Yong Li.
IEEE Transactions on Knowledge and Data Engineering, 2021. - The Impact of Covid-19 on Smartphone Usage.
Tong Li, Mingyang Zhang, Yong Li, Eemil Lagerspetz, Sasu Tarkoma, and Pan Hui.
IEEE Internet of Things Journal, 2021. - Passive Health Monitoring using Large Scale Mobility Data.
Yunke Zhang, Fengli Xu, Tong Li, Vassilis Kostakos, Pan Hui, and Yong Li.
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2021.
2020
- To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage.
Tong Li, Yong Li, Mohammad A. Hoque, Tong Xia, Sasu Tarkoma, and Pan Hui.
IEEE Transactions on Mobile Computing, 2020. (ESI Highly Cited Paper) - Urban Anomaly Analytics: Description, Detection, and Prediction.
Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, and Yu Zheng.
IEEE Transactions on Big Data, 2020. - Lifecycle-Aware Online Video Caching.
Tong Li, Tristan Braud, Yong Li, and Pan Hui.
IEEE Transactions on Mobile Computing, 2020. - Force9: Force-assisted Miniature Keyboard on Smart Wearables.
Lik-Hang Lee, Ngo-Yan Yeung, Tristan Braud, Tong Li, Xiang Su, and Pan Hui.
In Proceedings of the ACM International Conference on Multimodal Interaction (ACM ICMI), 2020. - A Self-adapting Hierarchical Actions and Structures Joint Optimization Framework for Automatic Design of Robotic and Animation Skeletons.
Zhiyang Xiang, Chuang Xiang, Tong Li, Yibo Guo.
Soft Computing, 2020. - Multi-View Joint Graph Representation Learning for Urban Region Embedding.
Mingyang Zhang, Tong Li, Yong Li, and Pan Hui.
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2020. - "What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage.
Tong Li, Mingyang Zhang, Hancheng Cao, Yong Li, Sasu Tarkoma, and Pan Hui.
In Proceedings of The Web Conference (WWW), 2020.
More Publications
2019
- Quadmetric Optimized Thumb-to-Finger Interaction for Force Assisted One-Handed Text Entry on Mobile Headsets.
Lik Hang LEE, Kit Yung Lam, Tong Li, Tristan Braud, Xiang Su, and Pan Hui.
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2019. - A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data.
Mingyang Zhang*, Tong Li*, Hongzhi Shi, Yong Li, and Pan Hui.
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019. - Data Collection and Node Counting by Opportunistic Communication.
Tong Li, Sylvia T. Kouyoumdjieva, Gunnar Karlsson, and Pan Hui.
In Proceedings of the 2019 IFIP Networking Conference (Networking), 2019. - Driving Big Data: A First Look at Driving Behavior Via a Large-scale Private Car Dataset.
Tong Li, Ahmad Alhilal, Anlan Zhang, Mohammad A. Hoque, Zhu Xiao, Dimitris Chatzopoulos, Yong Li, and Pan Hui.
In Proceedings of the 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW), 2019.
2018
- Blockchain-Based Data Sharing System for AI-Powered Network Operations.
Guozhen Zhang, Tong Li, Yong Li, Pan Hui, and Depeng Jin.
Journal of Communications and Information Networks, 2018.
2017
- On Enhancing Energy Efficiency via Elastic Cell-zooming Algorithm in Three-tier Heterogeneous Wireless Networks.
Zhu Xiao, Shuangchun Li, Tong Li, Dong Wang.
In Proceedings of the International Conference on Wireless Algorithms, Systems, and Applications, 2017.
2016
- Apollonius Circles based Outbound Handover in Macro-small Wireless Cellular Networks.
Zhu Xiao, Shuangchun Li, Tong Li, Dong Wang.
In Proceedings of IEEE Global Communications Conference (GLOBECOM), 2016. - Analytical Study on Multi-tier 5G Heterogeneous Small Cell Networks: Coverage Performance and Energy Efficiency.
Zhu Xiao, Hongjing Liu, Vincent Havyarimana, Tong Li, Dong Wang.
Sensors, 2016. - Dynamic PCI Allocation on Avoiding Handover Confusion via Cell Status Prediction in LTE Heterogeneous Small Cell Networks.
Zhu Xiao, Tong Li, Wei Ding, Dong Wang, Jie Zhang.
Wireless Communications and Mobile Computing, 2016. - Resource Allocation via Hierarchical Clustering in Dense Small Cell Networks: A Correlated Equilibrium Approach.
Zhu Xiao, Jianzhi Yu, Tong Li, Zhiyang Xiang, Dong Wang, Wenjie Chen.
In Proceedings of the IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016. - On Mitigating Interference under Device-to-device Communication in Macro-small Cell Networks.
Wenjie Chen, Tong Li, Zhu Xiao, Dong Wang.
In Proceedings of the 2016 International Conference on Computer, Information and Telecommunication Systems (CITS), 2016. - A Nonlinear Framework of Delayed Particle Smoothing Method for Vehicle Localization under Non-Gaussian Environment.
Zhu Xiao, Vincent Havyarimana, Tong Li, Dong Wang.
Sensors, 2016. - Performance Analysis of Co-and Cross-tier Device-to-Device Communication Underlaying Macro-small Cell Wireless Networks.
Tong Li, Zhu Xiao, Hassana Maigary Georges, Zhinian Luo, Dong Wang.
KSII Transactions on Internet & Information Systems, 2016.
Professional Activities
Journal Editorship:
Program Committee Member:
- KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining): 2023, 2024
- ICC (IEEE International Conference on Communications): 2023, 2024
- SMD (SIAM International Conference on Data Mining): 2023, 2024
- ECML-PKDD (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases): 2023
- AISTATS (International Conference on Artificial Intelligence and Statistics): 2023
- AAAI (AAAI Conference on Artificial Intelligence): 2022, 2023, 2024, 2025
- IJCAI (International Joint Conference on Artificial Intelligence): 2021, 2022, 2023, 2024
- ACML (Asian Conference on Machine Learning): 2024
Journal Reviewer:
- IEEE Journal on Selected Areas in Communications (IEEE JSAC)
- IEEE Transactions on Mobile Computing (IEEE TMC)
- IEEE Transactions on Vehicular Technology (IEEE TVT)
- IEEE Wireless Communications (IEEE WCM)
- The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
- IEEE Transactions on Network and Service Management (IEEE TNSM)
- IEEE Access
Membership:
- IEEE Member, ACM Member, CCF Member.